| Differentiable mpc for end-to-end planning and control B Amos, I Jimenez, J Sacks, B Boots, JZ Kolter Advances in neural information processing systems 31, 2018 | 418 | 2018 |
| Optimization methods for interpretable differentiable decision trees applied to reinforcement learning A Silva, M Gombolay, T Killian, I Jimenez, SH Son International conference on artificial intelligence and statistics, 1855-1865, 2020 | 143 | 2020 |
| LyaNet: A Lyapunov framework for training neural ODEs IDJ Rodriguez, A Ames, Y Yue International Conference on Machine Learning, 18687-18703, 2022 | 42 | 2022 |
| Self-Supervised Online Learning for Safety-Critical Control using Stereo Vision RK Cosner, IDJ Rodriguez, TG Molnar, W Ubellacker, Y Yue, AD Ames, ... 2022 International Conference on Robotics and Automation (ICRA), 11487-11493, 2022 | 12 | 2022 |
| Interpretable reinforcement learning via differentiable decision trees IDJ Rodriguez, T Killian, SH Son, M Gombolay arXiv preprint arXiv:1903.09338, 2019 | 12 | 2019 |
| Neural Gaits: Learning Bipedal Locomotion via Control Barrier Functions and Zero Dynamics Policies IDJ Rodriguez, N Csomay-Shanklin, Y Yue, AD Ames arXiv preprint arXiv:2204.08120, 2022 | 9 | 2022 |
| Optimization methods for interpretable differentiable decision trees in reinforcement learning A Silva, T Killian, IDJ Rodriguez, SH Son, M Gombolay arXiv preprint arXiv:1903.09338, 2019 | 9 | 2019 |
| Learning unstable dynamics with one minute of data: A differentiation-based gaussian process approach IDJ Rodriguez, U Rosolia, AD Ames, Y Yue arXiv preprint, 2021 | 6* | 2021 |
| FI-ODE: Certified and Robust Forward Invariance in Neural ODEs Y Huang, IDJ Rodriguez, H Zhang, Y Shi, Y Yue arXiv preprint arXiv:2210.16940, 2022 | 5 | 2022 |
| Safe Drone Flight with Time-Varying Backup Controllers A Singletary, A Swann, IDJ Rodriguez, AD Ames 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 3 | 2022 |
| A Factor Graph Approach To Constrained Optimization IDD Jimenez Rodriguez Georgia Institute of Technology, 2016 | 1* | 2016 |
| Optimization methods for interpretable differentiable decision trees applied to reinforcement learning. volume 108 of Proceedings of Machine Learning Research A Silva, M Gombolay, T Killian, I Jimenez, SH Son Online, 2020 | | 2020 |
